Avinash Tiwari Email & Phone Number

United States

Deerfield, IL, US

Beaverton, OR, US

Built an end-to-end analytics and data science organization at Converse (Nike.,Inc), focused on marketing science, digital product, UX, CRM & customer data science. Key Achievements: Helped grow Converse digital revenue by over 250%. Analyzed customer behavior and marketing ROI. Develop a CRM strategy that led to a 5x increase in contactable members and a.

New York, NY, US

• Leading a team of 10+ managers & analysts to help optimize marketing investment for commercial cards & Fin-Tech products across all digital channels plus direct mail and tele
• Optimize investments across all digital and non-digital marketing channels
• Developed discounted cash-flow (DCF) based ‘Card Member Value’ (CMV) models to appropriately measure ROI of customer acquisition from marketing channels
• Developed customer level P&L for GCS customer base to segment and find opportunities to drive incremental profitability
• Developed ‘Efficiency Dashboard’ to track the performance of marketing channels
• Provide cost-benefit analysis and strategic decision support to GCS executive office

New York, NY, US

• Led a team of analysts & data scientists to help drive digital acquisition by developing personalization data products, models & strategies using python, hive & machine learning algorithms such as GBM, kNN, Regression.
• Incremental revenue driven by a data product to identify ‘Commercial Cookies’ and deployed it across onsite and off-site channels for personalized targeting
• Incremental revenue driven by personalization models to serve ‘Right Product’ based on propensity of response and ‘Right Offer’ based on affluence
• Developed ‘Marketing Mix Model’ (MMM) to attribute card acquisition to appropriate marketing channel to optimize investments
• Developed bid-optimization model to predict propensity of ad-click to drive higher programmatic display ROI
• Developed media performance dashboard to track and optimize paid-social and programmatic display investment by DSP, site, tactic and content

New York, NY, US

• Led a team of data scientists, engineers and MBAs to develop CRM data products and machine learning models to drive loyalty, commerce and payments
• Developed Commercial Size of Wallet (SoW) for SMEs leveraging P&L and Tax Statements to identify size and share of cardable expense
• Built a Recommender Systems (Item-Item/MF) to predict relevant reward items with higher propensity of redemption for Customers
• Developed an attrition model for GCS customers with higher likelihood of attriting or becoming spend-inactive
• Developed product response models for cross-sell and up-sell of commercial cards

New York, NY, US

Jersey City, NJ, US

• Built and scaled up analytics delivery team for Aetna Health Insurance within 6 months
• $X MM in savings by identifying overpaid claims for Aetna Health

New York, US

• Managed analytics project delivery, client relationship and account development for global insurance clients including Farmers Insurance – a FORTUNE 500 company
• Managed and scaled Farmers Insurance account to 15 member team based out of LA and Mumbai with responsibility of analytics & statistical model delivery
• Developed ‘Customer Lifetime Value’ (CLTV) models to rank order Farmers customer base and leveraged it for upsell, cross-sell and customer service
• Territorial risk modeling based on clustering algorithms to identify and differentiate zip-codes with high catastrophic loss expectations for risk based pricing

Mumbai, Maharashtra, IN

Led several analytics projects to drive up-sell, retention and agency management

Austin, Texas, US

Designed and Developed a brand new customer loyalty product - a subproduct of Siebel CRM Suite - using Java, C++, and PL/SQL, with revenue opportunity of $500 MM

Mumbai, Maharashtra, IN

Liaised closely with finance, telecom and utilities clients to develop several critical software systems using Java, RDBMS, PL/SQL and C++

Master'S Degree, Computer Science - Data Science

Master Of Business Administration - Mba, Finance, Marketing

B.Tech, Computer Science Engineering